Rachid Zeghlache is a research engineer at IMT Atlantique, specializing in medical AI. His work centers on predictive modeling for disease progression using deep learning, particularly in diabetic retinopathy. He has contributed to both academic and clinical research in multi-modal medical imaging, with experience ranging from longitudinal learning frameworks to explainable AI for image falsification detection. He has published multiple journal articles and conference papers, participated in organizing data challenges, and served as a reviewer for leading journals and conferences like MICCAI and IEEE TMI.